首页|Studies from University of Washington Have Provided New Information about Roboti cs (Delayed Self-reinforcement To Reduce Deformation During Decentralized Flexib le-object Transport)
Studies from University of Washington Have Provided New Information about Roboti cs (Delayed Self-reinforcement To Reduce Deformation During Decentralized Flexib le-object Transport)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Seattle, Washington, by NewsRx corres pondents, research stated, “Recent works have investigated bio-inspired strategi es to transport objects using decentralized robot networks that only use local m easurements without the need for communication between robots. Typically, there is an inverse relationship between the object deformation and the transport time , i.e., reducing the object deformation requires an increase in the transport ti me needed for transitioning from the initial configuration to the final configur ation of the object.”
SeattleWashingtonUnited StatesNort h and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Washington
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